Complexity Optimized Digital Predistortion Model of RF Power Amplifiers

Autor:	Thomas Eriksson, Per N. Landin, Christian Fager, Siqi Wang, Wenhui Cao
Rok vydání:	2022
Předmět:	Radiation Linearization Computer science RF power amplifier Volterra series Basis function Pruning (decision trees) Electrical and Electronic Engineering Condensed Matter Physics Greedy algorithm Algorithm Predistortion Behavioral modeling
Zdroj:	IEEE Transactions on Microwave Theory and Techniques. 70:1490-1499
ISSN:	1557-9670 0018-9480
DOI:	10.1109/tmtt.2021.3122956
Popis:	A novel behavioral modeling technique for digital predistortion of radio frequency power amplifiers (PAs) is proposed. The proposed basis-propagating selection (BAPS) model has an advantage on complexity since its basis functions are constructed as delay or a combination of existing basis functions. The BAPS model effectively optimizes the running time complexity while maintaining the generality of a full Volterra series. A greedy search procedure is applied to select the optimal basis functions. Compared with truncated Volterra models and pruned models obtained by popular pruning techniques, the superior performance of the BAPS model, in terms of accuracy and identification stability, has been fairly justified. The linearization measurements on different types of PAs illustrate that the BAPS model can robustly outperform other models from literature while achieving a low running complexity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b982f06c541f4a8935ddb26b4801617a https://doi.org/10.1109/tmtt.2021.3122956 Zobrazit plný text záznamu